Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110F2B470F4A0C97A069341D0F7F7E719026DA286DF1008F993ED079B97A6E5CA79F209 |
|
CONTENT
ssdeep
|
384:qq9auxpvj2zXIRmk/lXzGNinQzHE52vdA7dIiTgJO8EeLlk/g5:P9auxp7cXIR9ad0LLqlMC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9c6c631d16cc798 |
|
VISUAL
aHash
|
ffcfffcfcfc3cbcf |
|
VISUAL
dHash
|
9a9bb099999e9e98 |
|
VISUAL
wHash
|
5e031f8f8f83838e |
|
VISUAL
colorHash
|
06602000002 |
|
VISUAL
cropResistant
|
9a9bb099999e9e98,e0a480c290aca0a0 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)